Evidence map›Paper›PMID 30699967›Full record

ArticlePlants (Basel, Switzerland)2019

Meta-Analysis of Quantitative Trait Loci Associated with Seedling-Stage Salt Tolerance in Rice (

Md Shofiqul Islam, John Ontoy, Prasanta K Subudhi

Open access · goldAbstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 10 pooled it
9.3field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

31 citing papers in PubMed, 10 syntheses or guidelines pooled it, 75 citations in OpenAlex.

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  19. Meta-analysis of QTLs and candidate genes associated with seed germination in rice (Physiology and molecular biology of plants : an international journal of functional plant biology · 2022
    Article
  20. Meta-QTL analysis and candidate genes identification for various abiotic stresses in maize (Molecular breeding : new strategies in plant improvement · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Md Shofiqul IslamSchool of Plant, Environment, and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA. islammdshofiqul@gmail.com.ORCID 0000-0003-3018-4739
John OntoySchool of Plant, Environment, and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA. jontoy@agcenter.lsu.edu.
Prasanta K SubudhiSchool of Plant, Environment, and Soil Sciences, Louisiana State University Agricultural Center, Baton Rouge, LA 70803, USA. psubudhi@agcenter.lsu.edu.ORCID 0000-0003-0512-9076
Louisiana State University Agricultural Center · US

Funding

U.S. Department of Agriculture 2013-67013-21238
6 · The paper itself

Abstract

Soil and water salinity is one of the major abiotic stresses that reduce growth and productivity in major food crops including rice. The lack of congruence of salt tolerance quantitative trait loci (QTLs) in multiple genetic backgrounds and multiple environments is a major hindrance for undertaking marker-assisted selection (MAS). A genome-wide meta-analysis of QTLs controlling seedling-stage salt tolerance was conducted in rice using QTL information from 12 studies. Using a consensus map, 11 meta-QTLs for three traits with smaller confidence intervals were localized on chromosomes 1 and 2. The phenotypic variance of 3 meta-QTLs was ≥20%. Based on phenotyping of 56 diverse genotypes and breeding lines, six salt-tolerant genotypes (Bharathy, I Kung Ban 4-2 Mutant, Langmanbi, Fatehpur 3, CT-329, and IARI 5823) were identified. The perusal of the meta-QTL regions revealed several candidate genes associated with salt-tolerance attributes. The lack of association between meta-QTL linked markers and the level of salt tolerance could be due to the low resolution of meta-QTL regions and the genetic complexity of salt tolerance. The meta-QTLs identified in this study will be useful not only for MAS and pyramiding, but will also accelerate the fine mapping and cloning of candidate genes associated with salt-tolerance mechanisms in rice.

Indexed as

consensus mapmeta-QTLOryza sativasalinityshoot sodium contentsodium–potassium ratio

Identifiers

PMID30699967
PMCPMC6409918
OpenAlexW2911495019

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.